Truck haulage reliant operations will typically experience higher operating costs due to longer haulage distances. With growing focus on the environmental impacts of mining, particularly greenhouse gas emissions, alternatives like Fully Mobile In-Pit Crusher Conveyor (FMIPCC) are being explored. The feature of this system is that the crusher is fed directly by a digging unit at the working face. A network of conveyor belts then transports material out of pit. However, it requires a robust mine plan to execute due to a loss of flexibility in mine sequencing. At present, there are no commercially available tools to generate and assess strategic mine plans of metalliferous deposit using FMIPCC systems. This research presents one of the first attempts to develop such a tool. This research introduces a mixed integer programming model for the FMIPCC system to open pit mining. Several key operational constraints are successfully implemented in addition to traditional open pit mining sequencing. The programming approaches have been used to ensure solution times are kept reasonable while ensuring that the unique strategic planning characteristics associated with the implementation of FMIPCC systems are addressed in a novel way. A direct block scheduling approach is used to provide the most meaningful results at a resolution reflective of long-term strategic mine planning. Ultimately the research developed a model that addresses the absence of a planning tool by incorporating essential FMIPCC system features and generating the NPV based on specific constraints.